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Christian Bick - Oscillators on evolving networks: Fast and slow evolution

Turing pattern
Dates:16 December 2020
Times:13:00 - 14:00
What is it:Seminar
Organiser:Department of Mathematics
Who is it for:University staff, External researchers, Current University students
Speaker:Christian Bick
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  • Mathematics in the life sciences
  • Department of Mathematics

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  • In category "Seminar"
  • In group "(Maths) Mathematics in the life sciences "
  • In group "(Maths) Maths seminar series"
  • By Department of Mathematics

(via Zoom) Join us for this seminar by Christian Bick (Exeter) as part of the North West Seminar Series in Mathematical Biology and Data Sciences. Details of the full series can be found here https://www.cms.livjm.ac.uk/APMSeminar/

Please contact carl.whitfield@manchester.ac.uk or Mirela.Domijan@liverpool.ac.uk for the zoom link, or sign up to the mailing list.

Abstract: Many processes in nature and technology can be modeled as networks of interacting oscillatory processes. In many cases, the underlying network structure is not static but evolves over time. Specifically, the network dynamics and the dynamics of the underlying network can interact. In this talk we look at two specific examples of dynamics on evolving networks. First, we look at network evolution that is fast compared to the network dynamics leading to a state-dependent network: For example, neural oscillators can be insensitive to new input in certain states, leading to effective 'deactivation' of network connections. Second, we look at network evolution that is slow compare to the network dynamics. Specifically, we look at damage processes in neurodegenerative diseases such as Alzheimer's disease and how they interact with the network dynamics as the disease evolves.

To subscribe to the mailing list for this event series, please send an e-mail with the phrase “subscribe math-lifesci-seminar” in the message body to listserv@listserv.manchester.ac.uk

Speaker

Christian Bick

Role: Senior Lecturer

Organisation: University of Exeter

  • http://empslocal.ex.ac.uk/people/staff/cb618/

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Carl Whitfield

carl.whitfield@manchester.ac.uk

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